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Job Description
Location:Bangalore (WFO)
Tenure:0-1 Years
About The Team And Role
The Associate Data Scientist will play a critical role in ensuring production stability of data science systems. The engineer will be the first line of defense when alerts or incidents occur in production. The on-call support engineer role provides strong exposure to the intersection of Data Science, Engineering, and Operations. A career path can evolve into:
- Data Scientist / ML Engineer: With upskilling, contributing to model design, experimentation, and deployment
- Monitoring automated alerts across domains.
- Executing defined incident response runbooks.
- Debugging issues using available RCA tools, observability tools, logs, and dashboards.
- Determining whether the issue is operational or model-related.
- Escalating to the model owner when necessary.
- Ensuring incident reports are logged with root-cause summaries and resolution notes.
- Every domain maintains a structured Incident Response Plan (IRP):
- Alerts List of metrics and conditions that trigger an incident (e.g., data pipeline delays, sharp metric drops, API errors).
- Response Step-by-step guide for initial checks (logs, dashboards, health checks).
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- Tools to Debug Domain-specific tools (Grafana, DBR notebooks, feature store dashboards).
- Escalation Triggers Clear thresholds for escalation to model owners (data quality corruption, unexplained metric deviations).
- Monitoring & Debugging: Familiarity with observability tools (Grafana, Prometheus, Cloud Monitoring).
- Data Systems Knowledge: Hands-on with SQL, Python, Basic Spark
- Statistical Intuition: Ability to distinguish noise vs. genuine anomalies in KPIs.
- Problem-Solving: Strong troubleshooting skills under time pressure.
- Communication: Crisp incident communication and handoff to DS/engineering teams.
- Documentation Discipline: Updating incident logs, playbooks, and IRPs post-mortem.
Skills
PythonData ScienceData ScientistMl EngineerMlSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Swiggy, a leading food delivery platform in India, revolutionizes dining experiences by offering convenient and reliable delivery services. Founded in 2014, Swiggy connects users with a wide range of restaurants, allowing them to order their favorite dishes with just a few taps on their mobile devices. With a seamless ordering and delivery process, Swiggy ensures customers receive their meals fresh and on time. Explore exciting career opportunities with Swiggy Careers, where passionate individuals drive innovation and shape the future of food delivery in India. Join our dynamic team committed to creating exceptional dining experiences and revolutionizing the food industry. Unlock your potential with Swiggy Careers today.
Important dates & deadlines?
Application Deadline
04 Apr 26, 04:03 PM IST
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Associate Data Scientist
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